Výsledky vyhledávání - "Automatic tumor segmentation"

Akademický článek

Convolutional neural networks for head and neck tumor segmentation on 7-channel multiparametric MRI: a leave-one-out analysis

Autor: Lars Bielak, Nicole Wiedenmann, Arnie Berlin, Nils Henrik Nicolay, Deepa Darshini Gunashekar, Leonard Hägele, Thomas Lottner, Anca-Ligia Grosu, Michael Bock

Publikováno v: Radiation Oncology, Vol 15, Iss 1, Pp 1-9 (2020)

Abstract Background Automatic tumor segmentation based on Convolutional Neural Networks (CNNs) has shown to be a valuable tool in treatment planning and clinical decision making. We investigate the influence of 7 MRI input channels of a CNN with resp

Externí odkaz: https://doaj.org/article/0bbef60024804f9997e3d3e1de751dd2

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Automatic Tumor Segmentation With a Convolutional Neural Network in Multiparametric MRI: Influence of Distortion Correction

Autor: Nils H. Nicolay, Lars Bielak, Anca-Ligia Grosu, Nicole Wiedenmann, H. Bunea, Thomas Lottner, Johannes Fischer, Michael Bock

Publikováno v: Tomography
Volume 5
Issue 3
Pages 292-299
Tomography; Volume 5; Issue 3; Pages: 292-299

Precise tumor segmentation is a crucial task in radiation therapy planning. Convolutional neural networks (CNNs) are among the highest scoring automatic approaches for tumor segmentation. We investigate the difference in segmentation performance of g

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6b2c52fb116d761eb1113e69a1f3d0e4

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Differential localization of glioblastoma subtype: implications on glioblastoma pathogenesis

Autor: Jeffrey M. Treiber, Amanda Smith, Tyler Steed, Bob S. Carter, Valya Ramakrishnan, Kunal S. Patel, Anders M. Dale, Alexander Merk, Lionel M.L. Chow, Clark C. Chen

Publikováno v: Oncotarget

// Tyler C. Steed 1 , Jeffrey M. Treiber 1 , Kunal Patel 1,2 , Valya Ramakrishnan 1 , Alexander Merk 3 , Amanda R. Smith 3 , Bob S. Carter 1 , Anders M. Dale 4,5 , Lionel M. L. Chow 3 and Clark C. Chen 3 1 Center for Theoretical and Applied Neuro-Onc

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d73442cd2848859a14fdbc8a702da70a
https://doi.org/10.18632/oncotarget.8551

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Adaptive kernelized evidential clustering for automatic 3D tumor segmentation in FDG–PET images

Autor: Su Ruan, Chunfeng Lian, Pierre Vera, Fang Wang

Publikováno v: Multimedia Systems
Multimedia Systems, Springer Verlag, 2019, 25 (2), pp.127-133

International audience; Automatically and reliably delineating tumor contours in noisy and blurring PET images is a challenging work in clinical oncology. In this paper, we introduce a specific unsupervised learning method to this end. More specifica

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4eaa6f4cc80bca9c192e149a0eba0248
https://hal.archives-ouvertes.fr/hal-01676312

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Akademický článek

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Dissertation/ Thesis

Information fusion and decision-making using belief functions : application to therapeutic monitoring of cancer

Autor: Lian, Chunfeng

La radiothérapie est une des méthodes principales utilisée dans le traitement thérapeutique des tumeurs malignes. Pour améliorer son efficacité, deux problèmes essentiels doivent être soigneusement traités : la prédication fiable des résul

Externí odkaz: http://www.theses.fr/2017COMP2333/document

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Fusion de l’information et prise de décisions à l’aide des fonctions de croyance : application au suivi thérapeutique du cancer

Autor: Lian, Chunfeng

Publikováno v: Other [cs.OH]. Université de Technologie de Compiègne, 2017. English. ⟨NNT : 2017COMP2333⟩

Radiation therapy is one of the most principal options used in the treatment of malignant tumors. To enhance its effectiveness, two critical issues should be carefully dealt with, i.e., reliably predicting therapy outcomes to adapt undergoing treatme

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::1f566ec8712b7ae0024ac69f71ca5142
https://tel.archives-ouvertes.fr/tel-01535758

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Differential localization of glioblastoma subtype: implications on glioblastoma pathogenesis

Autor: Steed, TC, Treiber, JM, Patel, K, Ramakrishnan, V, Merk, A, Smith, AR, Carter, BS, Dale, AM, Chow, LML, Chen, CC

Publikováno v: Oncotarget, vol 7, iss 18
Steed, TC; Treiber, JM; Patel, K; Ramakrishnan, V; Merk, A; Smith, AR; et al.(2016). Differential localization of glioblastoma subtype: implications on glioblastoma pathogenesis. ONCOTARGET, 7(18), 24899-24907. doi: 10.18632/oncotarget.8551. UC San Diego: Retrieved from: http://www.escholarship.org/uc/item/8zb5t469

IntroductionThe subventricular zone (SVZ) has been implicated in the pathogenesis of glioblastoma. Whether molecular subtypes of glioblastoma arise from unique niches of the brain relative to the SVZ remains largely unknown. Here, we tested whether t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::016133be1ec3dfca884d5def1f02699d
https://escholarship.org/uc/item/8zb5t469

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